Talanton Technologies is growing all the time, we will require more and more personnel to work for us as freelancer or full time worker. At Talanton Technologies our people are the foundation of our success and the key to our future, which is why we only hire the most highly skilled and strongly motivated individuals. Talanton Technologies knows that you want to be a valuable and valued employee – to use your skills, be challenged and contribute. We get it, and we make that happen for you.
At Talanton Technologies we believe that the realized potential and unique qualities of all of our employees are essential for innovation and growth. As a result, we are committed to inclusion and diversity. We invite you to join us and work with people who love what they do. Our compensation packages will be according to the standards for the best in the industry.
Current OpeningsCurrent Openings
UI Developer Needed
Looking for a skilled UI developer to assist with the creation and support of next generation web framework.Understanding of mobile first and responsive design is highly encouraged, as well as creating hybrid applications through the use of Phonegap/Cordova. Expertise in Front-end technologies – HTML5, CSS3, Java script, Jquery, Ajax, JSON. Experience creating and extending Javascript code frameworks.
Design scalable and performing architecture with Cross Browser (Firefox, IE, Chrome, Safari, and Opera) & Cross Platform (Windows, Mac) Compatibility. Develop and provide technical documentation; participate and oversee test-plan development, integration and deployment
Skills: HTML5, CSS3,Javascript, Jquery, Angular.js
Big Data Engineer Needed
Data Engineering role:
Strong programming skills and background in Python or Java (or Scala). Experience with Spark. Experience with SQL is also required. Experience with Impala query tools or Kafka a plus
Sr Software Engineer Needed
Job Location: Princeton, NJ and unanticipated client sites across the US. Must be willing to travel and/or relocate domestically.
Job description: Analyze business data processing problems to implement & improve computer systems. Support test cycles, unit testing case scripts by analyzing user requirements problems, entity type workflows scheduling limitations using Hadoop Bigdata, Scala, Spark
Education and experience required: Bachelor's degree in Computer Science or Engineering or IT or IS plus 5 years progressive experience in job offered or as Programmer or Analyst. In lieu of Bachelor’s degree and 5 years’ experience will accept Master’s degree in Computer Science or Engineering or IT or IS plus 2 years’ experience in job offered or as Programmer or Analyst. Prior work experience must include 2 years’ experience in Scala, Spark
Data Engineer
SQL, RDBMS, Spark, Scala, pySpark, Python, Hive, Hadoop Ecosystem, AWS, HBase
Data Engineering Consultant Job Description
· Build data products and processes alongside the core engineering and technology team
· Collaborate with senior data scientists to curate, wrangle, and prepare data for use in their advanced analytical models
· Integrate data from a variety of sources, assuring that they adhere to data quality and accessibility standards
· Modify and improve data engineering processes to handle ever larger, more complex, and more types of data sources and pipelines
· Use Hadoop architecture and HDFS commands to design and optimize data queries at scale
· Evaluate and experiment with novel data engineering tools and advises information technology leads and partners about new
capabilities to determine optimal solutions for particular technical problems or designated use cases.
Big data engineering skills:
. A minimum of 3 to 5 years of IT experience with a Bachelor’s degree in Computer Science, a Masters in Information Systems, Information Systems Management or closely related field.
· hands-on experience in one or more modern Object-Oriented Programming languages (Java, Scala, Python) including the ability to
code in more than one programming language.
· hands-on experience applying principles, best practices, and trade-offs of schema design to different database systems, including
relational (Oracle)and NoSQL (HBase)
· hands-on experience implementing batch and real-time data integration frameworks and/or applications in the private or public cloud
environments (AWS)using various technologies (Hadoop, Spark, Impala, etc.), including assessing performance, debugging, and fine-
tuning those systems
· hands-on experience in all phases of data modeling from conceptualization to database optimization
· Demonstrated ability to perform the engineering necessary to acquire, ingest, cleanse, integrate, and structure massive volumes of
data from multiple sources and systems into enterprise analytics platforms
· Proven ability to design and optimize queries to build scalable, modular, efficient data pipelines
· Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across
disparate data sets.
code in more than one programming language.
· hands-on experience applying principles, best practices, and trade-offs of schema design to different database systems, including
relational (Oracle)and NoSQL (HBase)
· hands-on experience implementing batch and real-time data integration frameworks and/or applications in the private or public cloud
environments (AWS)using various technologies (Hadoop, Spark, Impala, etc.), including assessing performance, debugging, and fine-
tuning those systems
· hands-on experience in all phases of data modeling from conceptualization to database optimization
· Demonstrated ability to perform the engineering necessary to acquire, ingest, cleanse, integrate, and structure massive volumes of
data from multiple sources and systems into enterprise analytics platforms
· Proven ability to design and optimize queries to build scalable, modular, efficient data pipelines
· Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across
disparate data sets.
· Proven experience delivering production-ready data engineering solutions, including requirements definition, architecture selection,
prototype development, debugging, unit-testing, deployment, support, and maintenance
· Ability to operate with a variety of data engineering tools and technologies; vendor-agnostic candidates preferred
prototype development, debugging, unit-testing, deployment, support, and maintenance
· Ability to operate with a variety of data engineering tools and technologies; vendor-agnostic candidates preferred
Industry knowledge:
· Strong collaboration and communication skills to work within and across technology teams and business units
· Experience with problem discovery, solution design, and insight delivery that involves frequent interaction, education, engagement,
and evangelism with senior executives
· Ideal candidates will have extensive experience with the creation and delivery of advanced analytics solutions.